Bibliographic record
Abstract
Professor of Philosophy and Director of the Hang Seng Centre for Cognitive Studies Professor of Philosophy The basic reorientation experiment Reorientation experiment variations Variation in the extent of alignment with a target domain Alignment to an extent vs. perfect alignment Parsimony in cognitive development Checkerboard image illustrating colour constancy A problem for the closed process invariance account of innateness The Thatcher illusion Sample stimuli from Xu and Spelke (2000) Neurological development in mutant mice that were genetically engineered to eliminate synaptic transmission (null) and in normal mice (control) Spontaneous pride display following athletic success in sighted (left) and congenitally blind (right) athletes The environmental vertical illusion Hespos and Baillargeon’s (2001b) study Baillargeon’s (1987) drawbridge study Stimuli from experiment 1 in Kellman and Spelke (1983) Habituation stimuli from additional experimental conditions in Kellman and Spelke (1983) that argue against Prinz’s alternative hypothesis Rogers and McClelland’s model of semantic memory Rogers and McClelland’s simulation of the pattern of conceptual differentiation in childhood in which broad categories appear before narrower categories Deep learning image categorization errors The typical structure of the concept learning process for learning a complex concept via hypothesis testing
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.933 | 0.887 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".